PUBLISHER: QYResearch | PRODUCT CODE: 1866599
PUBLISHER: QYResearch | PRODUCT CODE: 1866599
The global market for In-plant Logistics Automation was estimated to be worth US$ 29250 million in 2024 and is forecast to a readjusted size of US$ 51426 million by 2031 with a CAGR of 9.2% during the forecast period 2025-2031.
In-plant logistics automation is a key branch of logistics automation.Automated logistics systems store, transport, and sort materials. Their key features include rapid, efficient, and rational material storage and timely and accurate delivery of needed items. In recent years, automated logistics systems in China have entered a period of rapid development, with the widespread adoption of automated high-bay warehouses representing a significant portion of this market. The scale of newly established automated high-bay warehouses has also steadily increased, with a greater number of automated devices and more complex system integration.
This report primarily examines the current status and future development of the global and Chinese in-plant logistics automation markets, encompassing both equipment and software systems.
Market drivers primarily include the following:
1. Demand for manufacturing upgrades and intelligent transformation
Industry 4.0: Global manufacturing is upgrading towards flexibility and digitalization, and automated logistics systems have become a core component in improving production efficiency. For example, the 5G smart factory built by Today International for TBEA achieved a 30% increase in warehousing efficiency.
Demand for supply chain optimization: Companies are using equipment such as AGVs and automated high-bay warehouses to achieve "zero inventory" management and reduce costs across the entire supply chain (such as the collaboration between Cainiao and BYD).
2. Rising labor costs and shortages
Cost pressure: Average annual wage growth in China's manufacturing industry exceeds 5%, driving companies to adopt automation to replace repetitive tasks such as manual handling and sorting.
Efficiency bottlenecks: Traditional manual warehousing suffers from high error rates and lacks flexibility. AGVs and robotic systems can operate 24/7, reducing human error (for example, the human error rate in the Zhongheng Medical project has been reduced to 0.1%).
3. Technological advancement and policy support
Technological integration: The maturity of AI, IoT, and 5G technologies is driving intelligent logistics systems.
For example:
JD Logistics: Dynamic route optimization technology reduces transportation costs. SF Holding: Blockchain technology enables full cold chain traceability.
Policy Dividends:
National Level: Policies such as the "14th Five-Year Plan for Modern Logistics Development" and the "Guidelines for the Construction of the National Intelligent Manufacturing Standard System (2024 Edition)" provide fiscal subsidies and tax incentives.
Local Level: Smart logistics pilot projects are being established in many locations to promote technology implementation (such as the AI + robotics application cases showcased at the 2025 Guangzhou Logistics Expo).
Trends
Technology Deepening: Deep integration of AI and logistics equipment, such as the commercialization of humanoid robots in warehousing.
Application Expansion: Expanding from manufacturing to pharmaceuticals, cold chain, cross-border logistics, and other fields, diversifying demand.
Green Transformation: Driven by policies, the adoption of new energy logistics equipment (such as hydrogen-powered EMUs) will accelerate.
Challenges
Technology Standardization: Equipment compatibility and data interoperability issues remain to be resolved.
Return on Investment Cycle: Small and medium-sized enterprises face high cost pressures, requiring policy subsidies to lower barriers to entry.
Talent Development: A shortage of multi-disciplinary technical talent is hindering the rapid development of the industry. Driven by manufacturing upgrades, labor substitution, and technological policies, the in-factory logistics automation market is showing a trend of international and domestic companies advancing together and accelerating technological integration. In the future, it will evolve in a smarter and greener direction.
This report aims to provide a comprehensive presentation of the global market for In-plant Logistics Automation, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of In-plant Logistics Automation by region & country, by Type, and by Application.
The In-plant Logistics Automation market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding In-plant Logistics Automation.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of In-plant Logistics Automation company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of In-plant Logistics Automation in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of In-plant Logistics Automation in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.